Content
75%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-structured, actionable workflow with concrete commands, a useful actor-selection table, and error-handling feedback loops, with only minor gaps around input construction and output verification.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient and information-dense — the actor table is a compact decision reference and there is no padding explaining concepts Claude already knows — with only minor trimmable bits like the 'Copy this checklist' line and the '(No need to check it upfront)' aside, so it sits above the 'mostly efficient' anchor but not at fully lean. | 4 / 5 |
Actionability | It provides concrete, copy-paste-ready bash commands (node --env-file=.env ... run_actor.js --actor ... --input ... and the mcpc tools-call invocation) with real Actor IDs, but the JSON_INPUT placeholder's construction is left implicit (delegated to Step 2's schema fetch), a minor gap keeping it below fully executable. | 4 / 5 |
Workflow Clarity | A clear 5-step sequence with a progress checklist is present, and Step 2's schema fetch plus the Error Handling section supply a validation checkpoint and feedback loops for this batch scraping operation, so the batch-without-validation cap does not apply; the gap is only the lack of an explicit output-verification step before summarizing. | 4 / 5 |
Progressive Disclosure | Content is well-organized into Prerequisites, Workflow, and Error Handling sections with a clearly signaled one-level script reference (${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js); it is not a 5 because the sizable 19-row actor table is arguably inline content that could live in a separate reference file for a skill over 50 lines. | 4 / 5 |
Total | 16 / 20 Passed |